利用从高密度表面肌电图中提取的肌肉协同作用的时间和空间分布,确定上肢运动功能障碍的特征。

Haoshi Zhang, Boxing Peng, Ziyin Chen, Yinghu Peng, Xiaomeng Zhou, Yanjuan Geng, Guanglin Li
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摘要

研究目的为促进基于高密度表面肌电图(HD-sEMG)的客观、全面的患者运动功能评估的发展,本研究调查了与上肢运动功能障碍相关的神经肌肉活动的时空变化:方法:研究对象为单侧上肢运动功能障碍患者和健康对照组。在患者进行八次手部和腕部运动时,对其双臂进行 HD-sEMG 采集。从 HD-sEMG 中提取肌肉协同作用。双侧上肢协同作用的对称性和不同动作之间的协同作用差异被认为是测量协同作用空间分布变化的空间指标。此外,还提出了双侧上肢激活系数的相关性作为时间特征,以描述中枢神经系统(CNS)的协调控制。对患者和健康人的所有时间和空间指标进行了比较:主要结果:患者的中枢神经系统协调控制能力明显降低(p<0.05):这些发现为了解与运动功能障碍相关的特定模式提供了有价值的见解,为运动功能评估提供了信息,并为神经障碍性患者的针对性干预和康复策略提供了指导。
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Characterizing upper limb motor dysfunction with temporal and spatial distribution of muscle synergy extracted from high-density surface electromyography.

Objective.To promote the development of objective and comprehensive motion function assessment for patients, based on high-density surface electromyography (HD-sEMG), this study investigates the temporal and spatial variations of neuromuscular activities related to upper limb motor dysfunction.Approach.Patients with unilateral upper limb motor dysfunction and healthy controls were enrolled in the study. HD-sEMG was collected from both arms while they were performing eight hand and wrist movements. Muscle synergies were extracted from the HD-sEMG. Symmetry of bilateral upper limb synergies and synergy differences between motions were proposed as spatial indicators to measure alterations in synergy spatial distribution. Additionally, as a temporal characteristic, the correlation of bilateral upper limb activation coefficient was proposed to describe the coordination control of the central nervous system. All temporal and spatial indicators were compared between patients and healthy subjects.Main results.The patients showed a significant decrease (p< 0.05) in the symmetry of bilateral upper limb synergy spatial distribution and correlation of bilateral upper limb activation coefficient. Patients with motor dysfunction also showed an increase in synergy similarity between motions, indicating altered spatial distribution of muscle synergies.Significance.These findings provide valuable insights into specific patterns associated with motor dysfunction, informing motor function assessment, and guiding targeted interventions and rehabilitation strategies for neurologically disordered patients.

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